Відмінності між версіями «Was Oxygenase Worth The Cash?»
(Створена сторінка: In all of the simulations the cpa networks ended up parameterized through the common alternative of noises (��) shot separately directly into each and every...) |
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| − | + | Results for both the 0.1?mm and 0.2?mm motion scrubbing conditions are shown in the scatter plot to illustrate that small residual micro-movements had little effect on the results. The results indicate widespread increased synchrony between brain networks in Down Syndrome with less differentiation of the individual networks' temporal activity. Once abnormally increased internetwork correlation was observed, a post-hoc comparison to IQ was performed to evaluate whether this finding covaried with IQ [http://www.selleck.co.jp/products/Fludarabine(Fludara).html find more] as a measurement of cognitive impairment. Between network synchrony was inversely related to performance IQ in the Down Syndrome subjects (r?=???0.67, p?=?0.024, two-tailed t-test; Fig.?3). No relationship was seen with internetwork correlation and verbal IQ. Although intriguing, we consider this relationship exploratory given that this was constructed from a subset of an already modest Down Syndrome sample (n?=?11). No relationships were seen with either verbal or performance IQ in autism and between network correlation for any of the 21 network pairs examined. No differences in any of the 21 network pairs were seen with subject age, based on correlation of age to between-network correlation, in either the Down Syndrome or control cohorts. p-Values for correlation between age and internetwork synchrony ranged from 0.2 to 0.8 in both cohorts. No other covariates were examined for correlation with imaging results. To assess in more detail the spatial distribution of connectivity differences in Down Syndrome, we obtained time series for each of [http://en.wikipedia.org/wiki/Oxygenase Oxygenase] 7266 regions of interest (ROIs) covering the gray matter at 5?mm spatial resolution (Anderson et al., 2011b?and?Anderson et al., 2011d) and calculated pairwise Fisher-transformed correlations between each pair of ROI's in each subject. Overall trends with respect to connectivity differences associated with distance between regions and correlation strength in a large independent sample of control subjects (Ferguson and Anderson, 2011) are shown in Fig.?4 between control and Down Syndrome groups. For comparison, analogous results are shown from a sample of 964 subjects (447 autism, 517 healthy control) from the ABIDE resting state [http://www.selleck.co.jp/products/Etopophos.html Etoposide] fMRI dataset. In the graphs above in Fig.?3, blue bins show sets of ��connections�� for which mean correlation was higher in control subjects, while red bins show sets of ��connections�� for which mean correlation was higher in patient groups (Down Syndrome or autism). All region pairs are included in the graphs above, and only region pairs for which patient/control p-values in a two-tailed t-test were less than p? | |
Поточна версія на 21:06, 28 травня 2017
Results for both the 0.1?mm and 0.2?mm motion scrubbing conditions are shown in the scatter plot to illustrate that small residual micro-movements had little effect on the results. The results indicate widespread increased synchrony between brain networks in Down Syndrome with less differentiation of the individual networks' temporal activity. Once abnormally increased internetwork correlation was observed, a post-hoc comparison to IQ was performed to evaluate whether this finding covaried with IQ find more as a measurement of cognitive impairment. Between network synchrony was inversely related to performance IQ in the Down Syndrome subjects (r?=???0.67, p?=?0.024, two-tailed t-test; Fig.?3). No relationship was seen with internetwork correlation and verbal IQ. Although intriguing, we consider this relationship exploratory given that this was constructed from a subset of an already modest Down Syndrome sample (n?=?11). No relationships were seen with either verbal or performance IQ in autism and between network correlation for any of the 21 network pairs examined. No differences in any of the 21 network pairs were seen with subject age, based on correlation of age to between-network correlation, in either the Down Syndrome or control cohorts. p-Values for correlation between age and internetwork synchrony ranged from 0.2 to 0.8 in both cohorts. No other covariates were examined for correlation with imaging results. To assess in more detail the spatial distribution of connectivity differences in Down Syndrome, we obtained time series for each of Oxygenase 7266 regions of interest (ROIs) covering the gray matter at 5?mm spatial resolution (Anderson et al., 2011b?and?Anderson et al., 2011d) and calculated pairwise Fisher-transformed correlations between each pair of ROI's in each subject. Overall trends with respect to connectivity differences associated with distance between regions and correlation strength in a large independent sample of control subjects (Ferguson and Anderson, 2011) are shown in Fig.?4 between control and Down Syndrome groups. For comparison, analogous results are shown from a sample of 964 subjects (447 autism, 517 healthy control) from the ABIDE resting state Etoposide fMRI dataset. In the graphs above in Fig.?3, blue bins show sets of ��connections�� for which mean correlation was higher in control subjects, while red bins show sets of ��connections�� for which mean correlation was higher in patient groups (Down Syndrome or autism). All region pairs are included in the graphs above, and only region pairs for which patient/control p-values in a two-tailed t-test were less than p?
